Insurance and economic data are often positive, and we need to take into account this
peculiarity in choosing a statistical model for their distribution. An example is the inverse …

Item response theory (IRT) models are a class of statistical models used to describe the
response behaviors of individuals to a set of items having a certain number of options. They …

This paper addresses the problem of estimating a density, with either a compact support or a
support bounded at only one end, exploiting a general and natural form of a finite mixture of …

We introduce the R package DBKGrad, conceived to facilitate the use of kernel smoothing in
graduating mortality rates. The package implements univariate and bivariate adaptive …

The idea behind density-based clustering is to associate groups to the connected
components of the level sets of the density of the data to be estimated by a nonparametric …

The Mincer human capital earnings function is a regression model that relates individual's
earnings to schooling and experience. It has been used to explain individual behavior with …

Various parametric/nonparametric techniques have been proposed in literature to graduate
mortality data as a function of age. Nonparametric approaches, as for example kernel …

Various approaches have been proposed in literature for the kernel graduation of mortality
rates. Among them, this paper considers, as a starting point, the fixed bandwidth discrete …

This paper reviews the progress of the multiple population mortality model and the defects in
parameter estimation and proposes an effective method to improve the performance of the …

•" VC" for an adaptive bandwidth based on a vector of weights derived from the variation
coefficients which, in turn, depends from the exposures (see Mazza A, Punzo A, in press, for …